Jegadeeshwaran R

School of Mechanical Engineering

Chennai Campus

Sugumaran V

Mechanical

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

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International Journal of Fuzzy Computation and Modelling

Fulltext

Indian Journal of Science and Technology

Vibration Based Condition Monitoring of a Hydraulic Brake System through Statistical Learning Approaches: A Review

Hydraulic brakes are the most important components in automobile. It requires advanced supervision and fault diagnosis to improve the safety of passenger, reliability and economy. Condition monitoring is one of the major division through which the reliability of such components could be monitored. The condition of the brake components can be monitored by using the vibration characteristics which will reveal the condition of the brake systems. In this paper machine learning algorithm using vibration monitoring is proposed as a possible solution to this problem. From the hydraulic brake test set up, the vibration signals were acquired by using a piezoelectric transducer and data acquisition system. C4.5 decision tree algorithm was used to extract statistical features from vibration signals. Feature selection was also carried out. Since no much of methodologies are available to find the effective number of features for a given problem, a detailed study is needed to find the best possible number of features. Hence the effect of number of features was studied by using decision tree. The selected features were classified using C4.5 decision tree algorithm and Best first decision tree algorithm with pre pruning and post pruning techniques. The results are discussed and conclusions of the study are presented. © 2013 Elsevier Ltd. All rights reserved.

Measurement

Comparative study of decision tree classifier and best first tree classifier for fault diagnosis of automobile hydraulic brake system using statistical features

Recent Patents on Signal Processing

Method and Apparatus for Fault Diagnosis of Automobile Brake System Using Vibration Signals

Applied Soft Computing

A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis

Expert Systems with Applications

Effect of number of features on classification of roller bearing faults using SVM and PSVM

International Journal of Granular Computing, Rough Sets and Intelligent Systems

Use of histogram features for decision tree-based fault diagnosis of monoblock centrifugal pump

Fuzzy classifier with automatic rule generation for fault diagnosis of hydraulic brake system using statistical features

Journal	International Journal of Fuzzy Computation and Modelling
Publisher	Inderscience Publishers
ISSN	2052-353X
Open Access	0